This work deals with feature extraction and classifications of
vibration data of a bevel gear box system by Morlet wavelet, multiclass
proximal support vector machine. The vibration signal from
a piezoelectric transducer is captured for the following conditions:
good bevel gear, bevel gear with tooth breakage (GTB), bevel gear
with crack at root of the tooth (GTC), and bevel gear with face wear
of the teeth (TFW) for various loading and lubrication conditions.
Table 1 gives the all twenty four classes used for classifying using
multiclass proximal support vector machine.